Remote Data Scientist

Summary

Join the CDC Foundation as a Data Scientist to advance public health initiatives through data-driven insights and strategic decision-making. This role will leverage expertise in RStudio Cloud, analytics, and machine learning to support the Michigan Department of Health and Human Services Public Health Administration.

Requirements

• Bachelor’s degree or higher in Data Science, Statistics, Epidemiology, Health Informatics, or another related field
• Master’s or PhD in related field preferred
• Minimum 5 years of relevant or equivalent professional experience
• Demonstrated expertise in R and Python programming languages
• Understanding of Cloud service provider platforms, cloud computing instance deployment, data storage and management concepts
• Experience with API integrations to leverage open datasets and strategic services such as ArcGIS, REDCap, JIRA, etc
• Understanding of open-source cloud platform technologies
• Experience building RShiny dashboards
• Experience with row level security (RLS) in Posit
• Experience with deploying and integrating R packages in Tidyverse, ggplot, Dplyr, Shiny
• Experience with data manipulation and analysis tools (e.g., SQL, Pandas, NumPy)
• Knowledge of machine learning frameworks (e.g., TensorFlow, Scikit-learn)
• Experience with data visualization tools (e.g., Tableau, Power BI)
• Strong analytical thinking and problem-solving abilities
• Ability to interpret complex datasets and derive meaningful insights
• Excellent verbal and written communication skills
• Ability to convey technical concepts to non-technical partners effectively
• Flexibility to adapt to evolving project requirements and priorities

Responsibilities

• Assess the current MDHHS PHA technology landscape for Posit solution opportunities, software configuration, enhancements, and liaising with the State of Michigan’s centralized I.T. agency for the implementation, support, and administration of the Posit environment
• Serve as RStudio Cloud (aka, Posit) subject matter expert for MDHHS PHA business areas, coordinating between technical and data analysis teams and supporting users with R, Python and Shiny code development and troubleshooting
• Provide guidance and expertise to R user group to expand capacity and capability
• Building training materials/modules to help build R and Git Hub use
• Analyze diverse datasets related to public health issues to identify trends, patterns, and correlations
• Apply statistical methods and machine learning algorithms to extract actionable insights
• Develop predictive models to anticipate disease patterns, assess risk factors, and guide intervention strategies
• Continuously optimize algorithms for enhanced accuracy and performance
• Present data-driven insights in a clear and understandable manner to facilitate informed decision-making
• Collaborate with MDHHS PHA and its partners to understand their data needs and objectives
• Provide data-driven support and guidance to inform public health policies and initiatives
• Stay abreast of emerging trends, technologies, and methodologies in data science and analytics
• Explore innovative approaches to address complex public health challenges and improve data analysis capabilities

Benefits

• Salary Range: $92,700-$134,275 per year
• Fully remote work arrangement for U.S. based candidates